21 citations · 47 across the 14 of their papers we have counts for
6 papers · 1 filter
Online Gate-Driven Flow Control in Resin Transfer Moulding Using a Neural-Network Surrogate
Nicholas Wright, Oliver Maclaren, Piaras Kelly +2
In resin transfer moulding, complete saturation of the fibre preform is necessary before the resin front reaches the outlet vent(s), to prevent dry-spot formation. In practice, the…
Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization
Xindi Gong, Dingcheng Luo, Thomas O'Leary-Roseberry +2
Shape optimization under uncertainty (OUU) is computationally intensive for classical PDE-based methods due to the high cost of repeated sampling-based risk evaluation across many…
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
Ruanui Nicholson, Radoslav Vuchkov, Umberto Villa +1
In numerous applications, surrogate models are used as a replacement for accurate parameter-to-observable mappings when solving large-scale inverse problems governed by partial dif…
Joint Estimation of Robin Coefficient and Domain Boundary for the Poisson Problem
Ruanui Nicholson, Matti Niskanen
We consider the problem of simultaneously inferring the heterogeneous coefficient field for a Robin boundary condition on an inaccessible part of the boundary along with the shape…
An Additive Approximation to Multiplicative Noise
Ruanui Nicholson, Jari P. Kaipio
Multiplicative noise models are often used instead of additive noise models in cases in which the noise variance depends on the state. Furthermore, when Poisson distributions with…
Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field
Ruanui Nicholson, Noemi Petra, Jari Kaipio
We consider the reconstruction of a heterogeneous coefficient field in a Robin boundary condition on an inaccessible part of the boundary in a Poisson problem with an uncertain (or…